Abstract
In this paper, we propose an estimation method of the parameters for accurate image restoration using a Kalman filter. If it is possible to estimate the parameters(i.e. an image model and a noise variance)with high accuracy, then an image can be restored accurately using a Kalman filter. In traditional parameter estimation methods, parameters are estimated from the whole image, and a change of the local statistics in an image is not considered. Therefore, detail and whole regions of the image are not restored accurately with the previous methods. The proposed method estimates parameters adapted to every part of image according to a change in the local statistics, and can thus restore an image more accurately. We have verified the validity of proposed method by several experiments.
